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You're reading from  Hands-On Deep Learning with TensorFlow

Product typeBook
Published inJul 2017
Reading LevelBeginner
PublisherPackt
ISBN-139781787282773
Edition1st Edition
Languages
Python
Tools
TensorFlowScikit-learn
Concepts
Deep Learning
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Author (1)
Dan Van Boxel
Dan Van Boxel
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Dan Van Boxel

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
Read more about Dan Van Boxel

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Summary

In this chapter, we reviewed how we climbed from a humble logistic regression model to flying high with a deep convolutional neural network to classify fonts. We also discussed the future of TensorFlow. We finally recalled our TensorFlow models for font classification, reviewing their accuracy. We also took some time to discuss where TensorFlow is headed. Congratulations! You're now well-versed in TensorFlow. You've applied it to multiple research problems and models in this series, and learned how it's widely applicable.

The next step is to deploy TensorFlow in one of your own projects. Happy modeling!

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Hands-On Deep Learning with TensorFlow
Published in: Jul 2017Publisher: PacktISBN-13: 9781787282773
© 2017 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Dan Van Boxel

Dan Van Boxel is a data scientist and machine learning engineer with over 10 years of experience. He is most well-known for Dan Does Data, a YouTube livestream demonstrating the power and pitfalls of neural networks. He has developed and applied novel statistical models of machine learning to topics such as accounting for truck traffic on highways, travel time outlier detection, and other areas. Dan has also published research articles and presented findings at the Transportation Research Board and other academic journals.
Read more about Dan Van Boxel

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